Refine
Year of publication
- 2022 (147) (remove)
Institute
- Fachbereich Medizintechnik und Technomathematik (46)
- Fachbereich Energietechnik (32)
- IfB - Institut für Bioengineering (28)
- Fachbereich Chemie und Biotechnologie (18)
- ECSM European Center for Sustainable Mobility (17)
- INB - Institut für Nano- und Biotechnologien (14)
- Solar-Institut Jülich (14)
- Fachbereich Elektrotechnik und Informationstechnik (12)
- Fachbereich Luft- und Raumfahrttechnik (12)
- Fachbereich Maschinenbau und Mechatronik (11)
Language
- English (147) (remove)
Document Type
- Article (80)
- Conference Proceeding (47)
- Part of a Book (10)
- Conference: Meeting Abstract (5)
- Conference Poster (2)
- Other (2)
- Book (1)
Keywords
- Concentrated solar power (3)
- Energy storage (3)
- Hybrid energy system (3)
- Biocomposites (2)
- Chemometrics (2)
- Digital Twin (2)
- Earthquake (2)
- Electricity generation (2)
- Gamification (2)
- Heparin (2)
- IO-Link (2)
- NMR spectroscopy (2)
- Natural fibres (2)
- Polymer-matrix composites (2)
- Power plants (2)
- Seismic design (2)
- Seismic loading (2)
- Solar thermal technologies (2)
- Stress concentrations (2)
- biosensors (2)
- damage (2)
- seismic design (2)
- 10BASE-T1L (1)
- Actuator disk modelling (1)
- Additive Manufacturing (1)
- Additive manufacturing (1)
- Algal Turf Scrubber (1)
- Algal–bacterial bioflm (1)
- Alkalihalobacillus okhensis (1)
- Alzheimer's disease (1)
- Analogue Environments (1)
- Angle Sensor (1)
- Arduino (1)
- Artificial Intelligence (1)
- Artificial intelligence (1)
- Assembly (1)
- Asset Administration Shell (1)
- Associated liquids (1)
- Automated driving (1)
- Automotive application (1)
- BET (1)
- Behaviour factor q (1)
- Benchmark (1)
- Binder Jetting (1)
- Biogas (1)
- Biomass (1)
- Biomechanical simulation (1)
- Bootstrapping (1)
- Boundary integral equations (1)
- Brake set-up (1)
- Brake test (1)
- CAV (1)
- CFD propeller simulation (1)
- Camera system (1)
- Case Study (1)
- Categorial variable (1)
- Cementoblast (1)
- Central receiver power plant (1)
- Central receiver system (1)
- Ceramics (1)
- Challenges (1)
- Chance constrained programming (1)
- Change management (1)
- Circular bioeconomy (1)
- Civil engineering (1)
- Clinical decision support systems (1)
- Cloud passages (1)
- Clustering (1)
- Collective risk model (1)
- Compression (1)
- Concentrated solar collector (1)
- Concentrated systems (1)
- Concomitant (1)
- Conductive boundary condition (1)
- Conpot (1)
- Control optimization (1)
- Crude heparin (1)
- Cryobot (1)
- DNI forecast (1)
- DNI forecasting (1)
- Data-driven models (1)
- Decoupling (1)
- Digital Twin Evolution (1)
- Digital Twins (1)
- Direct normal irradiance forecast (1)
- Directed Energy Deposition (1)
- Diversity management (1)
- Drinfeld modules (1)
- Dynamic simulation (1)
- EN 1998-4 (1)
- ES-FEM (1)
- ESHM20, industrial facilities (1)
- Electrical Flight (1)
- Empirical process (1)
- Energy system (1)
- Erasmus+ United (1)
- Ethernet (1)
- Evolution of damage (1)
- Explainability (1)
- Extension fracture (1)
- Extension strain criterion (1)
- FGF23 (1)
- FPGA (1)
- FS-FEM (1)
- Feature selection (1)
- Field device (1)
- Finite element analysis (1)
- Finite element analysis (FEA) (1)
- Flight Mechanics (1)
- Flight Tests (1)
- Forces (1)
- Fracture classification (1)
- Fracture configuration (1)
- Fracture simulation (1)
- Freight rail (1)
- Gas turbine (1)
- Genetic algorithm (1)
- Global change (1)
- Guidelines (1)
- Haemodialysis (1)
- Handbike (1)
- Hazard assessment (1)
- Heliostat Field Calibration (1)
- Heliostats (1)
- Heterostructure (1)
- Higher derivations (1)
- Humidity (1)
- Hybridization (1)
- ICS (1)
- INSYSME (1)
- IR spectroscopy (1)
- Ice Melting (1)
- Icy Moons (1)
- Image Reconstruction (1)
- Imaging (1)
- In-plane load (1)
- In-plane performance, isolation (1)
- Incident analysis (1)
- Inclusive work climate (1)
- Incremental Encoder (1)
- Independence test (1)
- Industrial Communication (1)
- Industrial facilities (1)
- Industry 4.0 (1)
- Infill wall design (1)
- Inflight Regeneration, Recuperation (1)
- Information Extraction (1)
- Inorganic ions (1)
- Instructional design (1)
- Interaction (1)
- Interstellar objects (1)
- Inverse spectral problem (1)
- Ions (1)
- Justice (1)
- Kalman filter (1)
- Klotho (1)
- Knowledge Transfer (1)
- L-PBF (1)
- LPBF (1)
- Landslide tsunamis (1)
- Large scale tests (1)
- Laser-Powder Bed Fusion (1)
- Level system (1)
- Lidar (1)
- Limit analysis (1)
- Linear elastic analysis (1)
- Machine Learning (1)
- Machine learning (1)
- Malaysian automotive industry (1)
- Masonry infill (1)
- Measurement models (1)
- Measurement uncertainty (1)
- Measuring instruments (1)
- Mechanotransduction (1)
- Medical AI (1)
- Melting Efficiency (1)
- Melting Performance (1)
- Melting Probe (1)
- Metascintillator (1)
- Methane (1)
- Microcirculation (1)
- Mild cognitive impairment (1)
- Missions (1)
- Mixed integer linear programming (MILP) (1)
- Modelling (1)
- Modern constructions (1)
- Mohr–Coulomb criterion (1)
- Molecular modelling (1)
- Molecular weight determination (1)
- Molten salt receiver (1)
- Molten salt receiver system (1)
- Molten salt receiver system, (1)
- Molten salt solar tower (1)
- Monte Carlo Tree Search (1)
- Morphing (1)
- Multi-agent Systems (1)
- Multiple TOF kernels (1)
- Myocardial infarction and cardiac death (1)
- NMR (1)
- Natural Language Processing (1)
- Niacin (1)
- Normative standards (1)
- Nowcasting (1)
- Numerical modelling (1)
- Ocean Worlds (1)
- Organizational culture (1)
- Out-of-plane load (1)
- Overland flow (1)
- PEM fuel cells (1)
- PLS-regression (1)
- PTC (1)
- PTH (1)
- Parabolic trough collector (1)
- Paralympic sport (1)
- Perception (1)
- Periods (1)
- Phosphate (1)
- Photovoltaics (1)
- Position Encoder (1)
- Powder Material (1)
- Power conversion systems (1)
- Probability distribution mapping (1)
- Process mining (1)
- Process prediction (1)
- Profile Extraction (1)
- Propeller Aerodynamics (1)
- Propeller aerodynamics (1)
- Propeller performance (1)
- Proper Orthogonal Decomposition (1)
- Proximal humerus fracture (1)
- Psychological concepts (1)
- Pulsations (1)
- Q-criterion (1)
- Quadrocopter (1)
- Quality control (1)
- Quantum Computing (1)
- Quantum Machine Learning (1)
- Quantum chemistry (1)
- RWTH Aachen University (1)
- Rapid-prototyping (1)
- Reinforced concrete frame (1)
- Reliability of structures (1)
- Renewable energy (1)
- Retinal vessel analysis (1)
- Retinal vessels (1)
- Riboflavin (1)
- Rotational Encoder (1)
- Rotator cuff (1)
- S-FEM (1)
- SME (1)
- Self-driving (1)
- Sensors (1)
- Shakedown analysis (1)
- Shoulder (1)
- Solar concentration (1)
- Solar dish (1)
- Solar irradiance (1)
- Solitary waves (1)
- Standardization (1)
- Star design (1)
- Stochastic programming (1)
- Structural design (1)
- Structural health monitoring (1)
- Support System (1)
- TOF PET (1)
- Tanks (1)
- Tension (1)
- Text Mining (1)
- Thermal Energy Storage (1)
- Thiamine (1)
- Time-series aggregation (1)
- Tobacco mosaic virus (1)
- Train composition (1)
- Training (1)
- Trajectories (1)
- Transcendence (1)
- Transient flux distribution (1)
- Transmission eigenvalues (1)
- Two-phase modelling (1)
- Typical periods (1)
- UAV (1)
- USP (1)
- UTeM Engineering Knowledge Transfer Unit (1)
- Uncertainty analysis (1)
- Unmanned aerial vehicle (1)
- Unreinforced masonry buildings (1)
- User study (1)
- Vasomotions (1)
- Virtual reality (1)
- Vitamin A (1)
- Vitamin B (1)
- Vitamin D (1)
- Wiegand Effect (1)
- Window opening (1)
- acetoin (1)
- additive manufacturing (1)
- adipose-derived stromal cells (ASCs) (1)
- aminooctanethiol (1)
- anaesthetic complications (1)
- anisotropy (1)
- aortic perfusion (1)
- architectural education (1)
- aseptic parameters (1)
- atomic layer deposition (1)
- automated vehicles (1)
- aviation application (1)
- bacterial cellulose (1)
- batteries and fuel cells (1)
- behaviour factor q (1)
- bi-enzyme biosensor (1)
- biaxial tensile experiment (1)
- biocompatible materials (1)
- biodegradable electronic devices (1)
- biopharmaceutical production process (1)
- biopotential electrodes (1)
- body imaging at 7 T MRI (1)
- bootstrap (1)
- borefields (1)
- borehole disposal (1)
- bullying (1)
- capacitive field-effect biosensor (1)
- capacitive field-effect sensor (1)
- capacitive field-effect sensors (1)
- capacitive model (1)
- carbon electrodes (1)
- cell aerosolization (1)
- cell atomization (1)
- cerebral small vessel disease (1)
- chance constrained programming (1)
- coculture (1)
- cognitive impairment (1)
- coherent structures (1)
- combustor development (1)
- competence developing games (1)
- computational fluid dynamics analysis (1)
- connected automated vehicles (1)
- constitutive modeling (1)
- control system (1)
- correlation (1)
- crystallization (1)
- currriculum (1)
- cyber physical production system (1)
- cyber-physical production system (1)
- cybersecurity (1)
- dental trauma (1)
- design research (1)
- detergent protease (1)
- dialysis (1)
- difficult airway (1)
- digital shadow (1)
- digital twin (1)
- disposal facility (1)
- distorted element (1)
- double-lumen tube intubation (1)
- downstream processing design (1)
- dscipline (1)
- electrolyte-insulator-semiconductor capacitors (1)
- electrospinning (1)
- emission (1)
- endoluminal (1)
- energy (1)
- enzyme immobilization (1)
- enzyme-logic gate (1)
- exopolysaccharides (1)
- experiment quality (1)
- experimental evaluation (1)
- extracorporeal membrane oxygenation (1)
- eye movement modelling examples (1)
- fibers (1)
- field-effect sensor (1)
- force generation (1)
- forehead EEG (1)
- frequency mixing magnetic detection (1)
- fuel cell systems (1)
- fuels (1)
- fused filament fabrication (1)
- gaseous hydrogen peroxide (1)
- geological disposal (1)
- geothermal (1)
- glucose (1)
- gold nanoparticles (1)
- halotolerant protease (1)
- health management systems (1)
- high-alkaline subtilisin (1)
- high-intensity exercise (1)
- honeynet (1)
- honeypot (1)
- human digital shadow (1)
- human factors (1)
- human-machine interface (1)
- hybrid model validation (1)
- hybridity (1)
- hydraulic modelling (1)
- hydrogen (1)
- hyperelastic (1)
- ignition (1)
- impedance spectroscopy (1)
- in-ear EEG (1)
- industrial gas turbine (1)
- irradiation (1)
- lessons learned (1)
- limit analysis (1)
- linear elastic analysis; (1)
- magnetic nanoparticles (1)
- magnetic sensors (1)
- metrological characterization (1)
- microplasma (1)
- microwave (MW) plasma (1)
- model performance (1)
- modern constructions (1)
- multi-sensing platform (1)
- muscle fascicle behavior (1)
- nanoparticle coverage (1)
- non-simplex S-FEM elements (1)
- nuclear waste (1)
- oxidative stable protease (1)
- pH sensors (1)
- passive inter-modulation (1)
- penicillinase (1)
- performance testing (1)
- plasma jet (1)
- policy recommendations (1)
- polyetheretherketone (1)
- porous materials (1)
- power integrity (1)
- prebiotic (1)
- profession (1)
- pullulan (1)
- rapid tooling (1)
- recommendations for actions (1)
- reliability of structures (1)
- requirements (1)
- research by design (1)
- research in architecture (1)
- retention time (1)
- retinal vessels (1)
- sEMG (1)
- safety control (1)
- seismic hazard (1)
- shakedown analysis (1)
- signal integrity (1)
- simulation (1)
- sizing (1)
- smooth muscle contraction (1)
- software engineering (1)
- spore kill rate (1)
- sterility (1)
- stochastic programming (1)
- strain energy function (1)
- survival (1)
- systematic literature review (1)
- t-modules (1)
- technology transfer (1)
- tendon rupture (1)
- the University of Sheffield (1)
- thermal dose (1)
- tissue temperature (1)
- tobacco mosaic virus (TMV) (1)
- transmit antenna arrays (1)
- tri-lineage differentiation (1)
- twin-fluid atomizer (1)
- ultrasound imaging (1)
- ultrathin gate insulators (1)
- unreinforced masonry buildings (1)
- urease (1)
- video learning (1)
- videolaryngoscopy (1)
- virgin passive (1)
- viscoelasticity (1)
- walking gait (1)
The recent amendment to the Ethernet physical layer known as the IEEE 802.3cg specification, allows to connect devices up to a distance of one kilometer and delivers a maximum of 60 watts of power over a twisted pair of wires. This new standard, also known as 10BASE-TIL, promises to overcome the limits of current physical layers used for field devices and bring them a step closer to Ethernet-based applications. The main advantage of 10BASE- TIL is that it can deliver power and data over the same line over a long distance, where traditional solutions (e.g., CAN, IO-Link, HART) fall short and cannot match its 10 Mbps bandwidth. Due to its recentness, IOBASE- TIL is still not integrated into field devices and it has been less than two years since silicon manufacturers released the first Ethernet-PHY chips. In this paper, we present a design proposal on how field devices could be integrated into a IOBASE-TIL smart switch that allows plug-and-play connectivity for sensors and actuators and is compliant with the Industry 4.0 vision. Instead of presenting a new field-level protocol for this work, we have decided to adopt the IO-Link specification which already includes a plug-and-play approach with features such as diagnosis and device configuration. The main objective of this work is to explore how field devices could be integrated into 10BASE-TIL Ethernet, its adaption with a well-known protocol, and its integration with Industry 4.0 technologies.
An improved and convenient ninhydrin assay for aminoacylase activity measurements was developed using the commercial EZ Nin™ reagent. Alternative reagents from literature were also evaluated and compared. The addition of DMSO to the reagent enhanced the solubility of Ruhemann's purple (RP). Furthermore, we found that the use of a basic, aqueous buffer enhances stability of RP. An acidic protocol for the quantification of lysine was developed by addition of glacial acetic acid. The assay allows for parallel processing in a 96-well format with measurements microtiter plates.
A generalized shear-lag theory for fibres with variable radius is developed to analyse elastic fibre/matrix stress transfer. The theory accounts for the reinforcement of biological composites, such as soft tissue and bone tissue, as well as for the reinforcement of technical composite materials, such as fibre-reinforced polymers (FRP). The original shear-lag theory proposed by Cox in 1952 is generalized for fibres with variable radius and with symmetric and asymmetric ends. Analytical solutions are derived for the distribution of axial and interfacial shear stress in cylindrical and elliptical fibres, as well as conical and paraboloidal fibres with asymmetric ends. Additionally, the distribution of axial and interfacial shear stress for conical and paraboloidal fibres with symmetric ends are numerically predicted. The results are compared with solutions from axisymmetric finite element models. A parameter study is performed, to investigate the suitability of alternative fibre geometries for use in FRP.
On the basis of bivariate data, assumed to be observations of independent copies of a random vector (S,N), we consider testing the hypothesis that the distribution of (S,N) belongs to the parametric class of distributions that arise with the compound Poisson exponential model. Typically, this model is used in stochastic hydrology, with N as the number of raindays, and S as total rainfall amount during a certain time period, or in actuarial science, with N as the number of losses, and S as total loss expenditure during a certain time period. The compound Poisson exponential model is characterized in the way that a specific transform associated with the distribution of (S,N) satisfies a certain differential equation. Mimicking the function part of this equation by substituting the empirical counterparts of the transform we obtain an expression the weighted integral of the square of which is used as test statistic. We deal with two variants of the latter, one of which being invariant under scale transformations of the S-part by fixed positive constants. Critical values are obtained by using a parametric bootstrap procedure. The asymptotic behavior of the tests is discussed. A simulation study demonstrates the performance of the tests in the finite sample case. The procedure is applied to rainfall data and to an actuarial dataset. A multivariate extension is also discussed.
Advances in polymer science have significantly increased polymer applications in life sciences. We report the use of free-standing, ultra-thin polydimethylsiloxane (PDMS) membranes, called CellDrum, as cell culture substrates for an in vitro wound model. Dermal fibroblast monolayers from 28- and 88-year-old donors were cultured on CellDrums. By using stainless steel balls, circular cell-free areas were created in the cell layer (wounding). Sinusoidal strain of 1 Hz, 5% strain, was applied to membranes for 30 min in 4 sessions. The gap circumference and closure rate of un-stretched samples (controls) and stretched samples were monitored over 4 days to investigate the effects of donor age and mechanical strain on wound closure. A significant decrease in gap circumference and an increase in gap closure rate were observed in trained samples from younger donors and control samples from older donors. In contrast, a significant decrease in gap closure rate and an increase in wound circumference were observed in the trained samples from older donors. Through these results, we propose the model of a cell monolayer on stretchable CellDrums as a practical tool for wound healing research. The combination of biomechanical cell loading in conjunction with analyses such as gene/protein expression seems promising beyond the scope published here.
This study reviews the practice of brake tests in freight railways, which is time consuming and not suitable to detect certain failure types. Public incident reports are analysed to derive a reasonable brake test hardware and communication architecture, which aims to provide automatic brake tests at lower cost than current solutions. The proposed solutions relies exclusively on brake pipe and brake cylinder pressure sensors, a brake release position switch as well as radio communication via standard protocols. The approach is embedded in the Wagon 4.0 concept, which is a holistic approach to a smart freight wagon. The reduction of manual processes yields a strong incentive due to high savings in manual
labour and increased productivity.
The fourth industrial revolution presents a multitude of challenges for industries, one of which being the increased flexibility required of manufacturing lines as a result of increased consumer demand for individualised products. One solution to tackle this challenge is the digital twin, more specifically the standardised model of a digital twin also known as the asset administration shell. The standardisation of an industry wide communications tool is a critical step in enabling inter-company operations. This paper discusses the current state of asset administration shells, the frameworks used to host them and their problems that need to be addressed. To tackle these issues, we propose an event-based server capable of drastically reducing response times between assets and asset administration shells and a multi-agent system used for the orchestration and deployment of the shells in the field.
Sleep spindles are neurophysiological phenomena that appear to be linked to memory formation and other functions of the central nervous system, and that can be observed in electroencephalographic recordings (EEG) during sleep. Manually identified spindle annotations in EEG recordings suffer from substantial intra- and inter-rater variability, even if raters have been highly trained, which reduces the reliability of spindle measures as a research and diagnostic tool. The Massive Online Data Annotation (MODA) project has recently addressed this problem by forming a consensus from multiple such rating experts, thus providing a corpus of spindle annotations of enhanced quality. Based on this dataset, we present a U-Net-type deep neural network model to automatically detect sleep spindles. Our model’s performance exceeds that of the state-of-the-art detector and of most experts in the MODA dataset. We observed improved detection accuracy in subjects of all ages, including older individuals whose spindles are particularly challenging to detect reliably. Our results underline the potential of automated methods to do repetitive cumbersome tasks with super-human performance.
In order to realistically predict and optimize the actual performance of a concentrating solar power (CSP) plant sophisticated simulation models and methods are required. This paper presents a detailed dynamic simulation model for a Molten Salt Solar Tower (MST) system, which is capable of simulating transient operation including detailed startup and shutdown procedures including drainage and refill. For appropriate representation of the transient behavior of the receiver as well as replication of local bulk and surface temperatures a discretized receiver model based on a novel homogeneous two-phase (2P) flow modelling approach is implemented in Modelica Dymola®. This allows for reasonable representation of the very different hydraulic and thermal properties of molten salt versus air as well as the transition between both. This dynamic 2P receiver model is embedded in a comprehensive one-dimensional model of a commercial scale MST system and coupled with a transient receiver flux density distribution from raytracing based heliostat field simulation. This enables for detailed process prediction with reasonable computational effort, while providing data such as local salt film and wall temperatures, realistic control behavior as well as net performance of the overall system. Besides a model description, this paper presents some results of a validation as well as the simulation of a complete startup procedure. Finally, a study on numerical simulation performance and grid dependencies is presented and discussed.
Bacterial cellulose (BC) is a biopolymer produced by different microorganisms, but in biotechnological practice, Komagataeibacter xylinus is used. The micro- and nanofibrillar structure of BC, which forms many different-sized pores, creates prerequisites for the introduction of other polymers into it, including those synthesized by other microorganisms. The study aims to develop a cocultivation system of BC and prebiotic producers to obtain BC-based composite material with prebiotic activity. In this study, pullulan (PUL) was found to stimulate the growth of the probiotic strain Lactobacillus rhamnosus GG better than the other microbial polysaccharides gellan and xanthan. BC/PUL biocomposite with prebiotic properties was obtained by cocultivation of Komagataeibacter xylinus and Aureobasidium pullulans, BC and PUL producers respectively, on molasses medium. The inclusion of PUL in BC is proved gravimetrically by scanning electron microscopy and by Fourier transformed infrared spectroscopy. Cocultivation demonstrated a composite effect on the aggregation and binding of BC fibers, which led to a significant improvement in mechanical properties. The developed approach for “grafting” of prebiotic activity on BC allows preparation of environmentally friendly composites of better quality.
Wearable EEG has gained popularity in recent years driven by promising uses outside of clinics and research. The ubiquitous application of continuous EEG requires unobtrusive form-factors that are easily acceptable by the end-users. In this progression, wearable EEG systems have been moving from full scalp to forehead and recently to the ear. The aim of this study is to demonstrate that emerging ear-EEG provides similar impedance and signal properties as established forehead EEG. EEG data using eyes-open and closed alpha paradigm were acquired from ten healthy subjects using generic earpieces fitted with three custom-made electrodes and a forehead electrode (at Fpx) after impedance analysis. Inter-subject variability in in-ear electrode impedance ranged from 20 kΩ to 25 kΩ at 10 Hz. Signal quality was comparable with an SNR of 6 for in-ear and 8 for forehead electrodes. Alpha attenuation was significant during the eyes-open condition in all in-ear electrodes, and it followed the structure of power spectral density plots of forehead electrodes, with the Pearson correlation coefficient of 0.92 between in-ear locations ELE (Left Ear Superior) and ERE (Right Ear Superior) and forehead locations, Fp1 and Fp2, respectively. The results indicate that in-ear EEG is an unobtrusive alternative in terms of impedance, signal properties and information content to established forehead EEG.
Altered gastrocnemius contractile behavior in former achilles tendon rupture patients during walking
(2022)
Achilles tendon rupture (ATR) remains associated with functional limitations years after injury. Architectural remodeling of the gastrocnemius medialis (GM) muscle is typically observed in the affected leg and may compensate force deficits caused by a longer tendon. Yet patients seem to retain functional limitations during—low-force—walking gait. To explore the potential limits imposed by the remodeled GM muscle-tendon unit (MTU) on walking gait, we examined the contractile behavior of muscle fascicles during the stance phase. In a cross-sectional design, we studied nine former patients (males; age: 45 ± 9 years; height: 180 ± 7 cm; weight: 83 ± 6 kg) with a history of complete unilateral ATR, approximately 4 years post-surgery. Using ultrasonography, GM tendon morphology, muscle architecture at rest, and fascicular behavior were assessed during walking at 1.5 m⋅s–1 on a treadmill. Walking patterns were recorded with a motion capture system. The unaffected leg served as control. Lower limbs kinematics were largely similar between legs during walking. Typical features of ATR-related MTU remodeling were observed during the stance sub-phases corresponding to series elastic element (SEE) lengthening (energy storage) and SEE shortening (energy release), with shorter GM fascicles (36 and 36%, respectively) and greater pennation angles (8° and 12°, respectively). However, relative to the optimal fascicle length for force production, fascicles operated at comparable length in both legs. Similarly, when expressed relative to optimal fascicle length, fascicle contraction velocity was not different between sides, except at the time-point of peak series elastic element (SEE) length, where it was 39 ± 49% lower in the affected leg. Concomitantly, fascicles rotation during contraction was greater in the affected leg during the whole stance-phase, and architectural gear ratios (AGR) was larger during SEE lengthening. Under the present testing conditions, former ATR patients had recovered a relatively symmetrical walking gait pattern. Differences in seen AGR seem to accommodate the profound changes in MTU architecture, limiting the required fascicle shortening velocity. Overall, the contractile behavior of the GM fascicles does not restrict length- or velocity-dependent force potentials during this locomotor task.
Retinal vessels are similar to cerebral vessels in their structure and function. Moderately low oscillation frequencies of around 0.1 Hz have been reported as the driving force for paravascular drainage in gray matter in mice and are known as the frequencies of lymphatic vessels in humans. We aimed to elucidate whether retinal vessel oscillations are altered in Alzheimer's disease (AD) at the stage of dementia or mild cognitive impairment (MCI). Seventeen patients with mild-to-moderate dementia due to AD (ADD); 23 patients with MCI due to AD, and 18 cognitively healthy controls (HC) were examined using Dynamic Retinal Vessel Analyzer. Oscillatory temporal changes of retinal vessel diameters were evaluated using mathematical signal analysis. Especially at moderately low frequencies around 0.1 Hz, arterial oscillations in ADD and MCI significantly prevailed over HC oscillations and correlated with disease severity. The pronounced retinal arterial vasomotion at moderately low frequencies in the ADD and MCI groups would be compatible with the view of a compensatory upregulation of paravascular drainage in AD and strengthen the amyloid clearance hypothesis.
Edge-based and face-based smoothed finite element methods (ES-FEM and FS-FEM, respectively) are modified versions of the finite element method allowing to achieve more accurate results and to reduce sensitivity to mesh distortion, at least for linear elements. These properties make the two methods very attractive. However, their implementation in a standard finite element code is nontrivial because it requires heavy and extensive modifications to the code architecture. In this article, we present an element-based formulation of ES-FEM and FS-FEM methods allowing to implement the two methods in a standard finite element code with no modifications to its architecture. Moreover, the element-based formulation permits to easily manage any type of element, especially in 3D models where, to the best of the authors' knowledge, only tetrahedral elements are used in FS-FEM applications found in the literature. Shape functions for non-simplex 3D elements are proposed in order to apply FS-FEM to any standard finite element.
This work introduces a novel method for the detection of H₂O₂ vapor/aerosol of low concentrations, which is mainly applied in the sterilization of equipment in medical industry. Interdigitated electrode (IDE) structures have been fabricated by means of microfabrication techniques. A differential setup of IDEs was prepared, containing an active sensor element (active IDE) and a passive sensor element (passive IDE), where the former was immobilized with an enzymatic membrane of horseradish peroxidase that is selective towards H₂O₂. Changes in the IDEs’ capacitance values (active sensor element versus passive sensor element) under H₂O₂ vapor/aerosol atmosphere proved the detection in the concentration range up to 630 ppm with a fast response time (<60 s). The influence of relative humidity was also tested with regard to the sensor signal, showing no cross-sensitivity. The repeatability assessment of the IDE biosensors confirmed their stable capacitive signal in eight subsequent cycles of exposure to H₂O₂ vapor/aerosol. Room-temperature detection of H₂O₂ vapor/aerosol with such miniaturized biosensors will allow a future three-dimensional, flexible mapping of aseptic chambers and help to evaluate sterilization assurance in medical industry.
Cybersecurity of Industrial Control Systems (ICS) is an important issue, as ICS incidents may have a direct impact on safety of people or the environment. At the same time the awareness and knowledge about cybersecurity, particularly in the context of ICS, is alarmingly low. Industrial honeypots offer a cheap and easy to implement way to raise cybersecurity awareness and to educate ICS staff about typical attack patterns. When integrated in a productive network, industrial honeypots may not only reveal attackers early but may also distract them from the actual important systems of the network. Implementing multiple honeypots as a honeynet, the systems can be used to emulate or simulate a whole Industrial Control System. This paper describes a network of honeypots emulating HTTP, SNMP, S7communication and the Modbus protocol using Conpot, IMUNES and SNAP7. The nodes mimic SIMATIC S7 programmable logic controllers (PLCs) which are widely used across the globe. The deployed honeypots' features will be compared with the features of real SIMATIC S7 PLCs. Furthermore, the honeynet has been made publicly available for ten days and occurring cyberattacks have been analyzed
An interdisciplinary view on humane interfaces for digital shadows in the internet of production
(2022)
Digital shadows play a central role for the next generation industrial internet, also known as Internet of Production (IoP). However, prior research has not considered systematically how human actors interact with digital shadows, shaping their potential for success. To address this research gap, we assembled an interdisciplinary team of authors from diverse areas of human-centered research to propose and discuss design and research recommendations for the implementation of industrial user interfaces for digital shadows, as they are currently conceptualized for the IoP. Based on the four use cases of decision support systems, knowledge sharing in global production networks, human-robot collaboration, and monitoring employee workload, we derive recommendations for interface design and enhancing workers’ capabilities. This analysis is extended by introducing requirements from the higher-level perspectives of governance and organization.
This study investigated the anaerobic digestion of an algal–bacterial biofilm grown in artificial wastewater in an Algal Turf Scrubber (ATS). The ATS system was located in a greenhouse (50°54′19ʺN, 6°24′55ʺE, Germany) and was exposed to seasonal conditions during the experiment period. The methane (CH4) potential of untreated algal–bacterial biofilm (UAB) and thermally pretreated biofilm (PAB) using different microbial inocula was determined by anaerobic batch fermentation. Methane productivity of UAB differed significantly between microbial inocula of digested wastepaper, a mixture of manure and maize silage, anaerobic sewage sludge, and percolated green waste. UAB using sewage sludge as inoculum showed the highest methane productivity. The share of methane in biogas was dependent on inoculum. Using PAB, a strong positive impact on methane productivity was identified for the digested wastepaper (116.4%) and a mixture of manure and maize silage (107.4%) inocula. By contrast, the methane yield was significantly reduced for the digested anaerobic sewage sludge (50.6%) and percolated green waste (43.5%) inocula. To further evaluate the potential of algal–bacterial biofilm for biogas production in wastewater treatment and biogas plants in a circular bioeconomy, scale-up calculations were conducted. It was found that a 0.116 km2 ATS would be required in an average municipal wastewater treatment plant which can be viewed as problematic in terms of space consumption. However, a substantial amount of energy surplus (4.7–12.5 MWh a−1) can be gained through the addition of algal–bacterial biomass to the anaerobic digester of a municipal wastewater treatment plant. Wastewater treatment and subsequent energy production through algae show dominancy over conventional technologies.
Analysis and computation of the transmission eigenvalues with a conductive boundary condition
(2022)
We provide a new analytical and computational study of the transmission eigenvalues with a conductive boundary condition. These eigenvalues are derived from the scalar inverse scattering problem for an inhomogeneous material with a conductive boundary condition. The goal is to study how these eigenvalues depend on the material parameters in order to estimate the refractive index. The analytical questions we study are: deriving Faber–Krahn type lower bounds, the discreteness and limiting behavior of the transmission eigenvalues as the conductivity tends to infinity for a sign changing contrast. We also provide a numerical study of a new boundary integral equation for computing the eigenvalues. Lastly, using the limiting behavior we will numerically estimate the refractive index from the eigenvalues provided the conductivity is sufficiently large but unknown.